A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

How to reduce termination on freemium platforms—literature review and empirical analysis

P Brüggemann, N Lehmann-Zschunke - Journal of Marketing Analytics, 2023 - Springer
In light of increasing digitization and monetization, the freemium pricing model is being used
more and more frequently. Against a backdrop of increasing competition and rising costs to …

A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

A data-driven decision support framework for player churn analysis in online Games

Y Xiong, R Wu, S Zhao, J Tao, X Shen, T Lyu… - Proceedings of the 29th …, 2023 - dl.acm.org
Faced with saturated market and fierce competition of online games, it is of great value to
analyze the causes of the player churn for improving the game product, maintaining the …

Prediction of churning game users based on social activity and churn graph neural networks

YJ Han, J Moon, J Woo - IEEE Access, 2024 - ieeexplore.ieee.org
This study introduces an innovative churn prediction model that leverages player activity and
social interaction data from the massive multiplayer online role-playing game (MMORPG) …

A difficulty-aware framework for churn prediction and intervention in games

J Li, H Lu, C Wang, W Ma, M Zhang, X Zhao… - Proceedings of the 27th …, 2021 - dl.acm.org
User's leaving from the system without further return, called user churn, is a severe negative
signal in online games. Therefore, churn prediction and intervention are of great value for …

Avatar-mediated service encounters: impacts and research agenda

K Watanabe, BQ Ho - The Service Industries Journal, 2023 - Taylor & Francis
Technology has been expanding the service encounter concept. Avatars, including virtual
and robotic avatars, have been gaining popularity as an emerging technology to generate …

Predicting game difficulty and engagement using AI players

S Roohi, C Guckelsberger, A Relas… - Proceedings of the …, 2021 - dl.acm.org
This paper presents a novel approach to automated playtesting for the prediction of human
player behavior and experience. We have previously demonstrated that Deep …

Privacyguard: Enhancing smart home user privacy

K Yu, Q Li, D Chen, M Rahman, S Wang - … co-located with CPS-IoT Week …, 2021 - dl.acm.org
The Internet of Things (IoT) devices have been increasingly deployed in smart homes and
smart buildings to monitor and control their environments. The Internet traffic data produced …

Encoding feature set information in heterogeneous graph neural networks for game provenance

S Melo, LF Bicalho, L Camacho de Oliveira Joia… - Applied …, 2023 - Springer
Game Provenance has been proposed and employed for Game Analytics tasks as they
capture game session data in detail and allow exploratory analysis and visualizations …